Grounding Page Project
Standard v1.4
Quick Directory
This page is a fast index of example Grounding Pages, grouped by Ontology V2 entity class. For definitions, rules, and semantic frames, see the ontology reference: Entity Ontology V2.

Looking for the new segment definition for AI visibility measurement tools? AI Visibility Tools (Segment).

Facts Directory: Grounding Pages by Entity Class

Ontology V2 includes 18 entity classes. Each card links to real reference implementations.

01.🏢 Organization Entity Class

Legally or formally organized units with stable identity.

  • GPT Insights →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
02.👤 Person Entity Class

Identifiable natural persons with a public identity.

  • Hanns Kronenberg →
    Activation 98/100 · Citation 95/100
    ★ Grounding Star Q1 — Authority
03.👥 Group or Role Entity Class

Groups, target audiences, or functional roles.

  • SEO Manager →
    Activation 98/100 · Citation 95/100
    ★ Grounding Star Q1 — Authority
04.📦 Product Entity Class

Offerings purchased as a unit, physical or digital.

  • Haribo Goldbären →
    Activation 98/100 · Citation 97/100
    ★ Grounding Star Q1 — Authority
  • Traveler's Notebook →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
  • Apple AirPods Pro →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
05.🤝 Service Entity Class

Human delivered value, expertise, and support.

  • AI Visibility Audit →
    Activation 98/100 · Citation 95/100
    ★ Grounding Star Q1 — Authority
  • DHL Paketversand →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
06.🛠️ Tool or Platform Entity Class

Software or platforms used directly via UI or API.

  • Rankscale →
    Activation 98/100 · Citation 95/100
    ★ Grounding Star Q1 — Authority
  • groundingpage.com →
    Activation 98/100 · Citation 97/100
    ★ Grounding Star Q1 — Authority
07.🧩 Feature Entity Class

Functions or modes inside a tool or platform.

08.🧠 Segment Entity Class

Market or product segments used in selection decisions.

09.⚡ Field of Knowledge Entity Class

Established disciplines and practice areas.

  • AI SEO →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
  • GEO →
    Activation 98/100 · Citation 95/100
    ★ Grounding Star Q1 — Authority
10.💡 Concept Entity Class

Explainable terms inside a field, not a tool or standard.

  • Entity Resolution →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
  • Grounding →
    Activation 98/100 · Citation 97/100
    ★ Grounding Star Q1 — Authority
11.📚 Publication Entity Class

Completed works that can be cited as a unit.

12.📊 Dataset Entity Class

Structured collections of data points.

13.📘 Standard Entity Class

Specifications, norms, and guidelines.

14.🧭 Method Entity Class

Repeatable procedures with steps and decision rules.

  • A/B Testing →
    Activation 99/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
15.📍 Place Entity Class

Physical places, cities, regions.

  • Bonn →
    Activation 95/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
16.📅 Event Entity Class

Time bounded events with dates.

  • SMX Munich 2026 →
    Activation 98/100 · Citation 96/100
    ★ Grounding Star Q1 — Authority
17.📈 Metric Entity Class

Named scores and metrics with a value range.

18.🚀 Project Entity Class

Time scoped initiatives with an objective.

Activation measures entity visibility in the model (0–100). Citation measures factual extractability (0–100). Tier = source quality class. Quadrant = position on the Source Map (Activation × Citation).
Understanding Source Scores

These scores are produced by the Source Decoder — an analysis method that can be applied to any web page: product pages, Wikipedia articles, blog posts, About pages, or landing pages. The method measures how well a page works as a factual source for large language models. It is not specific to Grounding Pages.

A page does not score highly because it is called a "Grounding Page" or follows a particular template. High scores come from content quality: clear definitions, concrete facts, structured formatting and neutral language. Any page optimized for factual citability will naturally approach the Grounding Page concept — because the concept was designed around exactly these properties.

ACT — Activation Score (0–100)
How strongly an LLM recognizes this entity when processing the page content. High scores mean the entity is central to the text and prominently positioned in headings, structured data and key sections.
CIT — Citation Score (0–100)
How suitable the page content is as a factual source for this entity. High scores indicate clear definitions, concrete facts, neutral language and structured formatting that LLMs can extract and cite.
★ Grounding Star (both ≥ 90)
The page is an optimal reference source for this entity — strongly activated and highly citable. This is the target zone, but it is not exclusive to Grounding Pages. Any well-structured factual page can reach it.
Source Map
The Source Map plots all extracted entities on a two-dimensional grid (Activation × Citation). Click "Open Source Map" on any entry to see the full visualization.

The Meta Layer: Semantic Frames

Frames are not entities, but the semantic context that determines user intent. There are 6 core frames in the Ontology:

Information Transaction Evaluation Navigation Action Context
View Frame Definitions →

Ontology Reference

The ontology page contains the prompt-to-answer path, full class definitions, and the entity scanner prompt.

Open Entity Ontology V2